Video segmentation based on strong target constrained video saliency
Long Zhang, Yujun Liu, Shoudong Han · 2017
A video segmentation method based on strong target constrained video saliency (STCVS) is proposed in this paper. In order to detect the salient region fast and effectively, the proposed STCVS is extracted based on the extension of image saliency by enforcing the salient region constrained with the location, scale and color model of the target. Besides, according to the results of STCVS, the super-pixel based spatial-temporal DenseCut method is given for video segmentation, where the super-pixel is regarded as basic unit instead of pixel due to the large amount of data in video, and the pairwise term of inter-frame is included for ensuring temporal and spatial continuity of video segmentation results. Compared with some state-of-art video segmentation methods on DAVIS dataset, our proposed method performs outstandingly on accuracy, efficiency and robustness.